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Sourcing Strategy: Effective vs Efficient with Ron Crabtree

The Logistics of Logistics

The upshot of all this is the result of now we very brittle supply chains, now inherently susceptible to massive disruption – even by a single event – such as the tsunami event in Japan. Response to node failures is robust. Attributes of sourcing strategies that focus effectiveness: High Adaptability. High Responsiveness.

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Do You Want Visibility or Transparency?

Logistics Viewpoints

On the breadth dimension, we have a spectrum that includes point solutions out to alerts over a much broader range of events. One example is an alert that a truck will be late based on a GPS feed. Four Kites and Descartes are examples of software companies whose solution provides this type of alert. – mentioned above.

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Active Supply Chain Design: A Key Imperative for De Risking Supply Chains

Logistics Viewpoints

Risk events that happen in one part of the supply chain can cause a disruptive effect that is amplified multi-fold given the complex connectivity of labor, raw materials, and capacity. The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream.

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A New Era in Transport Logistics with Big Data and Self-Driving Trucks

Logistics Viewpoints

This requires complete transparency across all steps and events along the entire supply chain. An operation that is optimizing the real time flow of goods is also well-positioned to manage unexpected events. Look at the big picture. The only solution is to boost efficiency by optimizing processes for the long term.

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Supply Chain Predictions for 2022 and Beyond

Logistics Viewpoints

American Supply Chain Resilience Act and the German Supply Chain Act are just two examples of this. This is creating the need to shrink the time between identification of a sourcing need and executing on a sourcing event. Wanted to share these thoughts here.

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A Better Way to Think About Integrated Planning

Logistics Viewpoints

And agility is about reacting quickly and hopefully effectively to the actual disruptive event. But the event might not be disruptive at all if you had planned for it. One week, the model may show the capacity of an upstream node as being 200 units, the next week it can show 700 units.

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Getting Started with AI in Supply Chain

Logistics Viewpoints

Consider a planner in Brazil working with the previous lead time prediction example, who has forgotten how to update the parameters. Sometimes hilarious examples of its “hallucinations” illustrate its failure to understand ( My Dinners with GPT-4 by Justin Smith-Ruiu is one of my favorites).